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Title: Detecting middle ear fluid using smartphones
The presence of middle ear fluid is a key diagnostic marker for two of the most common pediatric ear diseases: acute otitis media and otitis media with effusion. We present an accessible solution that uses speakers and microphones within existing smartphones to detect middle ear fluid by assessing eardrum mobility. We conducted a clinical study on 98 patient ears at a pediatric surgical center. Using leave-one-out cross-validation to estimate performance on unseen data, we obtained an area under the curve (AUC) of 0.898 for the smartphone-based machine learning algorithm. In comparison, commercial acoustic reflectometry, which requires custom hardware, achieved an AUC of 0.776. Furthermore, we achieved 85% sensitivity and 82% specificity, comparable to published performance measures for tympanometry and pneumatic otoscopy. Similar results were obtained when testing across multiple smartphone platforms. Parents of pediatric patients ( n = 25 ears) demonstrated similar performance to trained clinicians when using the smartphone-based system. These results demonstrate the potential for a smartphone to be a low-barrier and effective screening tool for detecting the presence of middle ear fluid.  more » « less
Award ID(s):
1812559
NSF-PAR ID:
10095249
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Science Translational Medicine
Volume:
11
Issue:
492
ISSN:
1946-6234
Page Range / eLocation ID:
eaav1102
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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